‣
Despite
the recent advances in the field of geometry processing and 3D
reconstruction, producing complete and defect-free multi-scale
geometric models of objects that are as complex as pieces of artwork
or buildings still cannot be achieved in a full automatic way, which
hampers massive scanning campaigns.

‣
Standard
3d reconstruction techniques often require a large amount of user
interaction to adjust parameters or to perform corrections, which
essentially rely on some visual criteria.

‣
The
recent advances of 2D/3D registration techniques open up new lines of
research to bring solutions to the problem of automatically
reconstructing complete and multi-scale accurate 3D models with few
constraints on the acquisition process.

‣
The
goal of this thesis is to develop a technique that takes benefit from
the information obtained from a set of photographs to evaluate and
improve the reconstruction of 3D models from 3D scans.

‣
This
technique will be based on a novel metric that allows to compare a
calibrated set of photographs to a set of 3D scans.

‣
This
technique will be studied in conjunction with a representation making
it possible to visualize complex reconstructed models in real-time.

‣
The
implementation will be achieved in C++ and it will be incorporated
into the digitization software of the IGG group.

Eligibility

Candidates
must meet the following criteria to avail University
of Strasbourg PhD Position in Computer Graphics and Geometric
Modeling.

‣
Master
degree in Computer Science

‣
Basic
skills in Computer Graphics and Geometric Modeling

‣
Good
programming and communication skills

‣
Good
level of English is mandatory.

Scholarship
Application Method

Application
process:

‣Candidates
are invited to contact us as soon as possible via the two following
email addresses: allegre AT unistra DOT fr and dischler AT unistra
DOT fr.